Start:                  src.Start,
		Limit:                  src.Limit,
		Offset:                 src.Offset,
		File:                   src.File,
		KernelRelocationSymbol: src.KernelRelocationSymbol,
		BuildID:                src.BuildID,
		HasFunctions:           src.HasFunctions,
		HasFilenames:           src.HasFilenames,
		HasLineNumbers:         src.HasLineNumbers,
		HasInlineFrames:        src.HasInlineFrames,
	}

			return conf
		}
		db := trimSpace(line[:colon])
		srcs := line[colon+1:]
		for {
			srcs = trimSpace(srcs)
			if len(srcs) == 0 {
				break
			}
			sp := bytealg.IndexByteString(srcs, ' ')
			var src string
			if sp == -1 {
				src = srcs
				srcs = "" // done
			} else {
				src = srcs[:sp]
				srcs = trimSpace(srcs[sp+1:])
			}
			var criteria []nssCriterion

)

package(
    # copybara:uncomment default_applicable_licenses = ["//tensorflow:license"],
    default_visibility = ["//visibility:public"],
    licenses = ["notice"],
)

cc_library(
    name = "common",
    srcs = glob(
        ["*.cc"],
        exclude = ["*_test.cc"],
    ),
    hdrs = glob(["*.h"]),
    deps = [
        "//tensorflow/c/experimental/ops/gen/model",
        "//tensorflow/core:framework",

pytype_strict_library(
    name = "calibration_algorithm",
    srcs = ["calibration_algorithm.py"],
    deps = [
        ":calibration_statistics_proto_py",
        "//tensorflow/compiler/mlir/quantization/stablehlo:quantization_config_proto_py",
        "//third_party/py/numpy",
    ],
)

pytype_strict_contrib_test(
    name = "calibration_algorithm_test",
    srcs = ["calibration_algorithm_test.py"],
    deps = [

load("//tensorflow/core/platform:rules_cc.bzl", "cc_library")

package(
    # copybara:uncomment default_applicable_licenses = ["//tensorflow:license"],
    licenses = ["notice"],
)

cc_library(
    name = "c_api",
    srcs = ["c_api.cc"],
    hdrs = ["c_api.h"],
    visibility = ["//visibility:public"],
    deps = [
        ":tensor_pjrt_buffer_util",
        "//tensorflow/c:c_api_macros_hdrs",

        "@llvm-project//mlir:FuncDialect",
        "@llvm-project//mlir:IR",
        "@llvm-project//mlir:Pass",
    ],
)

cc_library(
    name = "embedding_pipelining",
    srcs = ["embedding_pipelining.cc"],
    hdrs = [
        "sparsecore_passes.h",
    ],
    deps = [
        ":sparsecore_passes_inc_gen",
        "//tensorflow/compiler/jit:flags_headers",

        # Restricting visibility for now
        "//tensorflow/c/experimental/saved_model/core:__subpackages__",
    ],
    licenses = ["notice"],
)

cc_library(
    name = "restore_ops",
    srcs = [
        "restore_ops.cc",
    ],
    hdrs = [
        "restore_ops.h",
    ],
    deps = [
        "//tensorflow/c:tensor_interface",
        "//tensorflow/c/eager:abstract_tensor_handle",

    implementation = _impl,
)

def junit_tests(name, srcs, **kwargs):
    s_name = name.replace("-", "_") + "TestSuite"
    _GenSuite(
        name = s_name,
        srcs = srcs,
        outname = s_name,
    )
    java_test(
        name = name,
        test_class = s_name,
        srcs = srcs + [":" + s_name],
        **kwargs
    )
    '''
    }

        fail("'src' %s conflicts with op Python wrapper. Rename it to be different from 'name'." % src)

    py_deps = [
        "//tensorflow/compiler/mlir/tfr:op_reg_gen",
        "//tensorflow/compiler/mlir/tfr:tfr_gen",
        "//tensorflow/compiler/mlir/tfr:composite",
    ] + deps

    gen_op_lib_exec = src[:-3]  # Strip off the .py
    py_strict_binary(
        name = gen_op_lib_exec,

)

cc_library(
    name = "utils",
    srcs = [
        "utils/utils.cc",
    ],
    hdrs = [
        "utils/utils.h",
    ],
    deps = [
        ":tfr",
        "@llvm-project//llvm:Support",
        "@llvm-project//mlir:IR",
        "@llvm-project//mlir:Support",
    ],
)

cc_library(
    name = "passes",
    srcs = [
        "passes/canonicalize.cc",